Add googlebert chinese

[urnotdfs]

This pull request adds support for the google-bert/bert-base-chinese model, including configuration, documentation, and licensing files, as well as updates to model and dataset lists. The changes enable optimization workflows for this model across multiple hardware platforms and ensure proper dataset integration and licensing compliance.

Model Addition and Integration

• Added the google-bert/bert-base-chinese model to .aitk/configs/model_list.json, specifying supported runtimes, architecture, status, and metadata for integration.
• Created the google-bert-bert-base-chinese/aitk/bert-base-chinese_context_ov_static.json configuration file to define optimization and quantization workflows for Intel CPU/NPU/GPU using OpenVINO, including dataset, evaluator, and conversion pass details.
• Added a corresponding .config file (bert-base-chinese_context_ov_static.json.config) to provide UI and automation for runtime selection, quantization dataset parameters, and evaluation toggles.
• Included a README (google-bert-bert-base-chinese/aitk/README.md) detailing optimization workflows, supported hardware, and performance benchmarks for the model.

Dataset List and Subset Updates

• Updated .aitk/configs/model_list.json to add wikimedia/wikipedia to the dataset list and subset mapping, ensuring the new model can use this dataset for quantization and evaluation. [1] [2]

Licensing and Housekeeping

• Added the Apache 2.0 license file for the new model to ensure proper legal compliance.
• Added a .gitignore file for the model's directory to exclude cache, history, and Python bytecode files from version control.

Configuration Versioning

• Incremented check and configuration counters in .aitk/configs/checks.json to reflect the addition of new model and dataset entries.

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